AI Content Hub

Tell the model what NOT to do in addition to what you want. For example, 'Explain quantum computing without using analogies or metaphors.' Negative constraints often produce more focused and accurate outputs than positive instructions alone.

Challenge: Ask an LLM to write a poem (e.g., a sonnet or a haiku) about a specific topic, but add unusual constraints. For example, 'Write a sonnet about a traffic jam, but do not use the letter E.'

For complex tasks, don't try to write the perfect prompt in one go. Start with a simple instruction, see the result, and then iteratively add more constraints, context, and examples to refine the output until it meets your requirements. This is more effective than starting with an overly complex prompt.

To guide the model away from undesired outputs, tell it what *not* to do. For example, add constraints like 'Do not use technical jargon,' 'Avoid mentioning price,' or 'The response should not be longer than two paragraphs.'

Challenge: Use an LLM to write a compelling short story (beginning, middle, end) using exactly 50 words. Experiment with different genres!

Sometimes it's effective to tell the LLM what to avoid. For example, 'Write a product description. Do not use clichés or overly technical jargon.'

Adding constraints to your prompt (e.g., word count, specific keywords to include/exclude, format requirements) can often lead to more focused and useful outputs from the LLM.

Sometimes, imposing unusual constraints can spark more creative LLM outputs. E.g., 'Write a story without using the letter E,' or 'Describe a color to someone who is blind.'

Clearly list all constraints the output must satisfy. For example, 'Write a poem about a cat that is exactly 10 lines long and mentions the moon.'

Structure prompts by defining: WHAT you want the LLM to do, WHY it's important (context), and HOW it should do it (format, style, constraints).

For complex tasks, reveal information progressively. Start with basic requirements, get initial output, then add more specific constraints or details.

If initial constraints are too restrictive and yield poor results, gradually relax them: 'If the previous constraints are too limiting, suggest the closest possible alternative.'

Define what you DON'T want as clearly as what you DO want. Example: 'Write a professional email. Do not use slang, emojis, or overly casual language.'

Challenge: Write a compelling story using an LLM with these constraints: exactly 100 words, must include the words 'quantum', 'bicycle', and 'grandmother', and cannot use the letter 'e' in the last sentence.